Abstract
Health insurance enrollment decisions are not only medical decisions but also involve other factors such as employment and financial status. Decision aids such as Virtual Benefits Counselors (VBC) and Human Resources (HR) traditional websites may help users make informed decisions. Little research has explicitly focused on how users navigate and search for information using these aids. We propose the use of the Social Network Analysis (SNA) method to characterize navigation and information search behavior. SNA was applied to the navigation data of 16 participants who were asked to make mock health insurance enrollment decisions using a VBC or HR website. VBC users searched for financial information with less back-and-forth navigation and explored a larger percentage of the system, whereas HR website users had more back-and-forth navigation between the same pages but explored fewer available pages. In conclusion, SNA provided insights into differences between how users interact with different decision aids and what contents they were looking for which may prove useful in understanding users’ interaction strategies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
